In the recent analysis, only 3 out of 10 signal-pattern combinations, using TRIX and Williams Percent Range (WPR), succeeded in forward-walk testing on the CHF JPY 4-hour timeframe. Training was conducted for 2023, with forward walking over 2024. Python was used to implement these patterns, leveraging its efficiency in coding and training networks, even without a GPU.

The TRIX function in Python calculates the rate of change of a triple-smoothed EMA, helping identify trend direction and reversals. The WPR function serves as a support/resistance oscillator to determine overbought/oversold conditions. Both functions emphasize the importance of proper input management and error handling.

The Conv1D network utilizes cosine kernels for adaptive channel progression and robust feature extraction. This method is advantageous for handling sequential data patterns, par...

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